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For Companies At a Glance
- Tasks: Analyse and validate financial data using Workday Financials and PSA.
- Company: Join a forward-thinking company focused on innovative financial solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make an impact by ensuring data accuracy in exciting Workday implementations.
- Qualifications: Experience with Workday Financials and strong analytical skills required.
- Other info: Fast-paced environment with great potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking an experienced Workday Finance & PSA Data Analyst to support the implementation of Workday Financials (FINS) and Professional Services Automation (PSA). The role will be responsible for end-to-end data analysis, validation, reconciliation, and reporting, ensuring the accuracy, consistency, and quality of financial and PSA data throughout the implementation lifecycle.
Responsibilities
- Demonstrated experience in a Workday Finance Data Analyst, Workday PSA Data Analyst, or comparable role.
- Strong hands-on expertise with Workday Financials and Workday PSA.
- Solid understanding of financial and PSA data structures, including customers, suppliers, projects, transactions, revenue, and costs.
- Proven ability to perform detailed data analysis, validation, and reconciliation.
- Experience supporting data conversion activities and testing phases within Workday implementations.
- Exceptional attention to detail, paired with strong analytical and problem-solving skills.
- Ability to thrive in fast-paced, delivery-driven environments and manage competing priorities effectively.
Workday Data Analyst (FINS & PSA) in London employer: Investigo
Contact Detail:
Investigo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Workday Data Analyst (FINS & PSA) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and PSA sectors. We all know that sometimes it’s not just what you know, but who you know. Attend industry events or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Prepare for those interviews! Research common questions for Workday Data Analyst roles and practice your answers. We can’t stress enough how important it is to showcase your hands-on expertise with Workday Financials and PSA during the interview.
✨Tip Number 3
Show off your analytical skills! Bring examples of your previous work where you performed detailed data analysis, validation, and reconciliation. We want to see how you’ve tackled challenges in fast-paced environments and managed competing priorities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals like you who have a solid understanding of financial and PSA data structures.
We think you need these skills to ace Workday Data Analyst (FINS & PSA) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Workday Financials and PSA. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Workday Data Analyst role. We love seeing your personality come through, so keep it engaging and relevant.
Showcase Your Analytical Skills: Since this role requires strong analytical abilities, make sure to include examples of your data analysis and validation experience. We want to know how you've tackled challenges in the past and what tools you used!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Investigo
✨Know Your Workday Inside Out
Make sure you brush up on your Workday Financials and PSA knowledge. Familiarise yourself with the data structures, key functionalities, and any recent updates. Being able to discuss specific features or challenges you've faced in previous roles will show your expertise.
✨Prepare for Data Analysis Questions
Expect questions that dive deep into your data analysis skills. Be ready to share examples of how you've performed data validation, reconciliation, and reporting in past projects. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Showcase Your Attention to Detail
Since this role requires exceptional attention to detail, prepare to discuss how you ensure accuracy in your work. Bring examples of how you've caught errors or improved processes in your previous roles. This will demonstrate your commitment to quality.
✨Demonstrate Problem-Solving Skills
Be ready to tackle hypothetical scenarios during the interview. Think about common issues that arise in data analysis and how you would approach solving them. Highlight your analytical thinking and ability to thrive under pressure, especially in fast-paced environments.
